S.No.	Software Name	Web Address	Publicly Available	Architecture Details/Flowchart	Publication for Developed Database	Min System Requirement	Other Details
1	ChemEXIN	https://github.com/rnsharma478/ChemEXIN	Yes	http://14.139.62.220/software_uploads/544.png	http://14.139.62.220/published_databases/545.pdf	4GB	An open-source, deep learning integrated, physicochemical property-based exon-intron boundary prediction method. It is based on a three-dimensional convolutional neural network (3D-CNN) architecture. Three organism-specific (Homo sapiens, Mus musculus, and Caenorhabditis elegans) models have been built and implemented in the final prediction pipeline. The universality of ChemEXIN lies in its ability to predict exon-intron boundaries across varying lengths of known genes (180 to ~2,500,000 bps) in the organisms under study.
2	BIMP	https://scfbio.iitd.ac.in/bimp/index.php	Yes	http://14.139.62.220/software_uploads/561.png	http://14.139.62.220/published_databases/.pdf	4GB	BIMP is an extensive repository of phytochemicals derived from Indian medicinal plants, offering unparalleled access to a wealth of information. This database provides detailed insights into each phytochemical, including its classification, physicochemical properties, drug-likeness, experimental and predicted targets, and much more.